Download Learning SciPy for Numerical and Scientific Computing by Francisco J. Blanco-Silva PDF

By Francisco J. Blanco-Silva

It's necessary to contain workflow facts and code from quite a few assets so one can create quickly and potent algorithms to resolve advanced difficulties in technology and engineering. info is coming at us speedier, dirtier, and at an ever expanding price. there's no have to hire difficult-to-maintain code, or pricey mathematical engines to unravel your numerical computations anymore. SciPy promises quickly, exact, and easy-to-code strategies for your numerical and medical computing applications.

"Learning SciPy for Numerical and medical Computing" unveils secrets and techniques to a couple of the main serious mathematical and clinical computing difficulties and should play an instrumental position in assisting your examine. The e-book will educate you the way to speedy and successfully use diverse modules and workouts from the SciPy library to hide the significant scope of numerical arithmetic with its simplistic sensible procedure that's effortless to follow.

The e-book begins with a quick description of the SciPy libraries, exhibiting useful demonstrations for buying and fitting them in your method. this can be by way of the second one bankruptcy that is a enjoyable and fast paced primer to array production, manipulation, and problem-solving in keeping with those techniques.

The remainder of the chapters describe using all diverse modules and exercises from the SciPy libraries, during the scope of alternative branches of numerical arithmetic. every one tremendous box is represented: numerical research, linear algebra, data, sign processing, and computational geometry. And for every of those fields all percentages are illustrated with transparent syntax, and lots of examples. The publication then offers mixtures of most of these ideas to the answer of study difficulties in real-life eventualities for various sciences or engineering — from photo compression, organic type of species, keep watch over concept, layout of wings, to structural research of oxides.

Show description

Read Online or Download Learning SciPy for Numerical and Scientific Computing PDF

Best python books

Pro Django (2nd Edition)

Easy methods to leverage Django, the best Python net program improvement framework, to its complete strength during this complex instructional and reference. up to date for Django 1. five and Python three, professional Django, moment version examines in nice element the complicated difficulties that Python internet program builders can face and the way to resolve them.

Programming Python (4th Edition)

If you've mastered Python's basics, you're able to commence utilizing it to get genuine paintings performed. Programming Python will convey you the way, with in-depth tutorials at the language's basic program domain names: procedure management, GUIs, and the internet. You'll additionally discover how Python is utilized in databases, networking, front-end scripting layers, textual content processing, and extra.

A Student's Guide to Python for Physical Modeling

Python is a working laptop or computer programming language that's quickly rising in popularity during the sciences. A Student's advisor to Python for actual Modeling goals that will help you, the scholar, train your self adequate of the Python programming language to start with actual modeling. you are going to the best way to set up an open-source Python programming atmosphere and use it to complete many universal clinical computing projects: uploading, exporting, and visualizing facts; numerical research; and simulation.

Python Data Analytics: Data Analysis and Science Using Pandas, matplotlib, and the Python Programming Language

Python facts Analytics can help you take on the area of knowledge acquisition and research utilizing the facility of the Python language. on the middle of this publication lies the assurance of pandas, an open resource, BSD-licensed library delivering high-performance, easy-to-use info buildings and information research instruments for the Python programming language.

Additional resources for Learning SciPy for Numerical and Scientific Computing

Example text

0. 0. 0. 1. 1. ] [ 0. 0. 0. 1. 1. ] [ 0. 0. 0. 1. 1. ]])] The behavior of a Python function on an array is usually the application of the function to each of the elements of the array. sin). Notice the behavior with nonvectorized Python functions. Let us define one that computes, for each value of x, the maximum between x and 100 without using any routine from the NumPy libraries. # function max100 defmax100(x): return max(x,100) [ 34 ] Chapter 2 If we try to apply this function to the preceding array, the system raises an error, as follows: >>> max100(a) ValueError: The truth value of an array with more than one element is ambiguous.

Multiply(A,A) matrix([[ 1, 4], [ 9, 16]]) The other notable difference between arrays and matrices is in regards to their shapes. While we allow one-dimensional arrays, their corresponding matrices must have two dimensions. This is very important to have in mind when we transpose either object. shape ((5,), (1, 5), (5,), (5, 1)) [ 42 ] Chapter 3 SciPy extends the basic applications that we access by offering interesting matrix creation commands, and many related methods. It also allows us the opportunity to speed up computations in the cases where special matrices are used.

Sort() >>> print A [10 11 12 13 14 15 16 17 18 19] Array calculation methods are used to perform computations or extract information about our data. We have a set of methods of statistical nature that help us compute, for instance, maximum or minimum values of the data (max, min), as well as their corresponding indices (argmax, argmin). We have methods to compute the sum, cumulative sums, product, or cumulative products (sum, cumsum, prod, cumprod). It is possible to extract the average (mean), point spread (ptp), variance (var), or standard deviation (std).

Download PDF sample

Rated 4.99 of 5 – based on 13 votes